e.g. mhealth
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Skip search results from other journals and go to results- 5 Journal of Medical Internet Research
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Currently, evidence is lacking on the effect of data quality issues (eg, completeness, accuracy, and timeliness) and the identification of T2 D populations in large clinical data sources such as EHRs. This gap in evidence is further amplified given the variations in characteristics of published T2 D phenotypes and potential discrepancies in underlying data types (ie, diagnosis, medication, and laboratory) in EHRs.
JMIR Med Inform 2024;12:e56734
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Note that these CCGs meet the criteria for identification, that is, their prescribing rate immediately before the reduction was in the top 38 (20%) CCGs.
The total OME measure shows a gradual reduction over time in all 3 CCGs, with the algorithm identifying a reduction of up to 31%.
JMIR Public Health Surveill 2024;10:e51323
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The Costs of Anonymization: Case Study Using Clinical Data
Reference 14: R-U policy frontiers for health data de-identification Reference 21: Use and understanding of anonymization and de-identification in the biomedical literature Reference 23: A systematic review of re-identification attacks on health data Reference 43: Managing re-identification risks while providing access to the All of Us research program Reference 50: A globally optimal k-anonymity method for the de-identification of health dataidentification
J Med Internet Res 2024;26:e49445
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Nonetheless, it is agreed that frailty is a condition preceding disability and that strategies must be set for an early classification and identification of older adults into nonfrail, prefrail, and frail individuals [10].
J Med Internet Res 2023;25:e47346
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Table 3 shows the different e CEQ rules and the identification values in phase 1 (the identification values of separate questions from Q1 to Q7 are summarized in Table S1 in Multimedia Appendix 4). Although rule 2 showed better identification values than rule 1, both of them showed unsatisfactory NPVs of 58% and 60.6%, respectively. Further analysis focused on the NPV of rule 2 showed that it obtained 28 false-negative questionnaires, in which Q4 (12/28, 43%) and Q6 (9/28, 32%) were the main causes.
J Med Internet Res 2023;25:e44614
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Reference 3: Automated identification of an aspirin-exacerbated respiratory disease cohort Reference 10: Natural language processing of clinical notes for identification of critical limb ischemia gaps in electronic health records by using natural language processing: gynecologic surgery history identificationidentificationAutomated Identification of Aspirin-Exacerbated Respiratory Disease Using Natural Language Processing
JMIR AI 2023;2:e44191
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These preliminary results identify a novel, easily measured physiological metric that may aid in the tracking and identification of SARS-Co V-2 infections.
Current means to control COVID-19 spread rely on case isolation and contact tracing, which have played major roles in the successful containment of prior infectious disease outbreaks [18-20].
J Med Internet Res 2021;23(2):e26107
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